Abstract: Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, which is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

Abstract: Communications services are provided to a device. For instance, where a communications resource is being used by a device via a first communications service provider (CSP) component associated with a first CSP, based on a probabilistic analysis of loading parameters received from a device at the first CSP component. A likelihood that the device will move can be predicted, comprising determining the likelihood is not less than a threshold likelihood. If likely to move, and based on the loading parameters, a loading profile associated with a user of the device is updated resulting in updated likelihoods of usages of the communication resource by the device via respective other CSP components other than the first CSP component. Further, based on the updated likelihoods of usages of the communication resource, at least part of the communications resource can be allocated to the respective other CSP components to facilitate communications with the device.

Abstract: Structured access to volunteered private data disclosed. Access can be based on security and privacy constraint information (SPCI) that can be selected by the party volunteering the private data. The volunteered data can be stored in a protected portion of a public network. The SPCI can be correlated to the volunteered data. In response to receiving a request for access to the volunteered data, an attribute of the request can be determined to satisfy one or more rules related to the SPCI prior to facilitating access to a version of a portion of the volunteered data. The version of the portion of the volunteered data can be a redaction of the portion of the volunteered data. The version of the portion of the volunteered data can be aggregated with other portions of other volunteered data determined to satisfy corresponding SPCI related rules.

Abstract: A processing system including at least one processor may obtain a request for a performance of a task, where the task is to be performed by at least one autonomous vehicle, broadcast an offer for performing the task to a plurality of autonomous vehicles, obtain from a first autonomous vehicle of the plurality of autonomous vehicles, a bid to perform the task by the first autonomous vehicle and at least a second autonomous vehicle, and assign the task to the first autonomous vehicle and the at least the second autonomous vehicle in response to the bid.

Abstract: A device, method or executable instructions that include receiving, over a network, an authentication request from a user device for performing a function utilizing a first authentication method, obtaining network intelligence data for a mobile network over the network, and identifying a risk for each of multiple authentication methods in response to analyzing device security behavior and the network intelligence data. Further embodiments include identifying a first risk for the first authentication method and identifying a second risk for the function, determining the first risk is higher than the second risk, and identifying a second authentication method that is associated with the second risk. Additional embodiments include notifying the user device of the second risk for the function, and providing a recommendation to the user device to utilize the second authentication method to perform the function. Other embodiments are disclosed.

Abstract: Structured access to volunteered private data disclosed. Access can be based on security and privacy constraint information (SPCI) that can be selected by the party volunteering the private data. The volunteered data can be stored in a protected portion of a public network. The SPCI can be correlated to the volunteered data. In response to receiving a request for access to the volunteered data, an attribute of the request can be determined to satisfy one or more rules related to the SPCI prior to facilitating access to a version of a portion of the volunteered data. The version of the portion of the volunteered data can be a redaction of the portion of the volunteered data. The version of the portion of the volunteered data can be aggregated with other portions of other volunteered data determined to satisfy corresponding SPCI related rules.

Abstract: A processing system including at least one processor may collect, via at least one camera of at least one autonomous aerial vehicle, viewing information for a plurality of positions for each of a plurality of viewing locations within an event venue. The processing system may next present a viewing location selection interface to a user, where the viewing location selection interface provides a simulated view with respect to at least one of the plurality of positions for at least one of the plurality of viewing locations, and where the simulated view is based upon the viewing information that is obtained. The processing system may then obtain a selection from the user of a viewing location of the plurality of viewing locations for an event at the event venue.

Abstract: A framework for a 6th generation (6G) ubiquitous wireless communications network is provided. A system comprises: a memory that stores executable instructions; and a processor, coupled to the memory, that facilitates execution of the executable instructions to perform operations.

Abstract: A simulation of a planned future environment can be presented, including social aspects, along with a simulation of other aspects of the environment, such as sounds and other environment conditions. For example, a user can plan a travel route from point A to point B and view a preview of the journey prior to beginning the journey to envision what to expect and possibly alter their plans as a result. In order for a simulated preview of the journey to be created, a set of data can be collected that can represent the location of connected or non-connected objects at a point in time and predict their location at later points in time. The prediction can be validated or confirmed by other connected devices long the route.

Abstract: A processing system of an autonomous aerial vehicle including at least one processor may obtain mapping data describing at least a portion of a facility, navigate, via the mapping data, to a space within the facility to perform an assigned task, and collect spatial sensor data within the space. The processing system may then detect, from the spatial sensor data, at least one object within the space, define a reserved zone within the space to perform the assigned task, based upon the at least one object that is detected, and present at least one of an audible announcement or a visual announcement of the reserved zone.

Abstract: Facilitating antenna farm intelligent software defined networking enabled dynamic resource controller networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can comprise evaluating a condition, the condition being at a mobile device, and a characteristic related to a defined network service associated with a connection to the mobile device. The operations can also comprise selectively modifying a quantity of antennas utilized to provide the connection to the mobile device based on the condition being determined to influence a level of service associated with the defined network service.

Abstract: A virtualized network function included in a mobile communication network may be capable of performing validation of sensor data. The sensor data may be generated by one or more sensors monitoring a tangible asset that is being transported between geographical locations. The sensor data may be received by the virtualized network function from an Internet-enabled device in communication with the mobile communication network. In some cases, a contract management application included in the virtualized network function may validate the sensor data based on one or more compliance thresholds describing a shipment condition of the tangible asset. Based on determining whether the sensor data indicates a compliant shipment condition for the tangible asset, the contract management application may modify a contract associated with the tangible asset.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising providing services over a network to a device, and constructing device capability and usage profiles. A level of service quality for the device is adjusted by adjusting a latency criterion regarding connection of the device to the network; adjusting a speed of transmissions to or from the device; and altering a routing of transmissions to or from the device. The network can be partitioned so that the adjusted service quality level is provided by a network portion having a predetermined level of resources. The adjusted service quality level can comprise a first level while the device is active and a second level while the device is inactive; the first level is higher than the second level. The first and second levels are lower than a service quality level provided by another network portion. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to intelligent drone traffic management via a radio access network (“RAN”). As disclosed herein, a RAN node, such as an eNodeB, can receive, from a drone, a flight configuration. The flight configuration can include a drone ID and a drone route. The RAN node can determine whether capacity is available in an airspace associated with the RAN node. In response to determining that capacity is available in the airspace associated with the RAN node, the RAN node can add the drone ID to a queue of drones awaiting use of the airspace associated with the RAN node. When the drone ID is next in the queue of drones awaiting use of the airspace associated with the RAN node, the RAN node can instruct the drone to fly through at least a portion of the airspace in accordance with the drone route.

Abstract: Personalized sensory services are provided to mobile devices. As a sensor monitors an area of surveillance, the sensor may detect a passing mobile device. The sensor may thus ally itself to the passing mobile device and provide personalized sensory operations.

Abstract: Concepts and technologies directed to an integrated telecommunications roadside unit for supporting vehicle-to-everything (“V2X”) communications are disclosed herein. Embodiments of an integrated telecommunications roadside unit can include a processor and a memory that store computer-executable instructions that configure a processor to perform operations. The operations can include intercepting a vehicle-to-vehicle communication that is provided from a first vehicle to a second vehicle. The vehicle-to-vehicle communication can be transmitted using a direct transmission mode. The operations can further include encapsulating the vehicle-to-vehicle communication in a user plane package. The operations can also include routing the user plane package to a destination network access node, where the destination network access node is outside of a direct communication range corresponding to the first vehicle and the second vehicle.

Abstract: Facilitating antenna farm intelligent software defined networking enabled dynamic resource controller networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can comprise evaluating a condition, the condition being at a mobile device, and a characteristic related to a defined network service associated with a connection to the mobile device. The operations can also comprise selectively modifying a quantity of antennas utilized to provide the connection to the mobile device based on the condition being determined to influence a level of service associated with the defined network service.

Abstract: Aspects of the subject disclosure include, for example, selecting a first edge device of a first network to provide a part of a service to a communication device, establishing a first session between the first edge device and a device of a second network for a duration of the service, wherein the first session is associated with a first portion of an address, establishing a second session between the first edge device and the communication device in accordance with an access technology to facilitate a transfer of first data associated with the first part of the service to the communication device, wherein the second session is associated with a second portion of the address, and wherein the second portion of the address identifies the access technology, and transferring the first data to the communication device in accordance with the address, wherein the address comprises a third portion that identifies the communication device. Other embodiments are disclosed.

Abstract: A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.

Abstract: Resource-sensitive token-based access point selection is disclosed. A user equipment (UE) can generate a request for resources that can be shared with an selection component remote from the UE. The request for resources can be generated independent of the UE receiving information about an access point (AP) in range of the UE. The selection component can pair the UE with an AP resource based on AP data and UE data. The selection component can generate a token comprising information related to the pairing. The UE can receive the token via a device other than the AP or via the AP. The token can be employed by the UE to initiate a link to the AP to enable use of the AP resource by the UE. The link can be resource sensitive in view of the request for resources and available AP resources.